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Isamu Mclean Isozaki

Isamu Isozaki

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2020 – today

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2023
[c2]
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  dblp key:
  - conf/bibm/KimRIRCTS23
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  - https://dblp.org/rec/conf/bibm/KimRIRCTS23
Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis:
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. BIBM 2023: 4213-4219
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  - journals/corr/abs-2307-01898
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  - https://dblp.org/rec/journals/corr/abs-2307-01898
Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael P. Robson:
Generative Artificial Intelligence Consensus in a Trustless Network. CoRR abs/2307.01898 (2023)
2022
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  - journals/corr/abs-2204-07066
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Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim:
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR abs/2204.07066 (2022)
2021
[c1]
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  - conf/ijcnn/AlparslanMISDDK21
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Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. IJCNN 2021: 1-8
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  - journals/corr/abs-2101-06511
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Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. CoRR abs/2101.06511 (2021)
[i1]
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  - journals/corr/abs-2104-08969
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Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim:
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. CoRR abs/2104.08969 (2021)

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